ollama/gpu/gpu_info_cpu.c
Daniel Hiltgen 34b9db5afc Request and model concurrency
This change adds support for multiple concurrent requests, as well as
loading multiple models by spawning multiple runners. The default
settings are currently set at 1 concurrent request per model and only 1
loaded model at a time, but these can be adjusted by setting
OLLAMA_NUM_PARALLEL and OLLAMA_MAX_LOADED_MODELS.
2024-04-22 19:29:12 -07:00

49 lines
1.1 KiB
C

#include "gpu_info.h"
// Fallbacks for CPU mode
#ifdef _WIN32
#include <sysinfoapi.h>
void cpu_check_ram(mem_info_t *resp) {
resp->err = NULL;
MEMORYSTATUSEX info;
info.dwLength = sizeof(info);
if (GlobalMemoryStatusEx(&info) != 0) {
resp->total = info.ullTotalPhys;
resp->free = info.ullAvailPhys;
resp->major = 0;
resp->minor = 0;
snprintf(&resp->gpu_id[0], GPU_ID_LEN, "0");
} else {
resp->err = LOAD_ERR();
}
return;
}
#elif __linux__
#include <errno.h>
#include <string.h>
#include <sys/sysinfo.h>
void cpu_check_ram(mem_info_t *resp) {
struct sysinfo info;
resp->err = NULL;
if (sysinfo(&info) != 0) {
resp->err = strdup(strerror(errno));
} else {
resp->total = info.totalram * info.mem_unit;
resp->free = info.freeram * info.mem_unit;
resp->major = 0;
resp->minor = 0;
snprintf(&resp->gpu_id[0], GPU_ID_LEN, "0");
}
return;
}
#elif __APPLE__
// TODO consider an Apple implementation that does something useful
// mem_info_t cpu_check_ram() {
// mem_info_t resp = {0, 0, NULL};
// return resp;
// }
#else
#error "Unsupported platform"
#endif